A FREE Crash Course introduction to MATLAB for neuroscience and psychology students for experiments and data analysis.
Description
Have you ever done programming before for your neuroscience or psychology degree or your job in healthcare?
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Have you attended coding classes and felt like you couldn’t keep up with the pace?
Long hours in front of the black screen, error messages and troubleshooting right before the deadlines.
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Sounds familiar?
We’re Adrianna and Ana, two graduate neuroscience students who met by chance in the library while working on the coding assignment as a part of our MSc course.
We decided to study together to learn programming in MATLAB with zero experience!
After finally passing our coding assignments, completing a research internship in a decision-making lab and submitting independent research projects, we decided to collect our experience, skills and knowledge to share with students just like us.
We know how challenging it is to get started so we created this “Introduction to MATLAB Crash Course” tailored for neuroscience and psychology students who are complete beginners or just getting started.
Who this course is for:
Undergraduate, graduate or postgraduate Neuroscience and Psychology students
Healthcare professionals interested in learning how to code in MATLAB
Lab technicians or research assistants who need to run experiments or analyse data
For anyone who wants to learn programming in MATLAB!
What is covered:
What is MATLAB and why do you need it?
How coding skills can benefit your career perspectives
MATLAB workplace set up, how to use basic functions, logical operators
How to write your own scripts in MATLAB
Importing, saving, analysing, visualising and exporting data
| Total Students | 1127 |
|---|---|
| Duration | 34 mins |
| Language | English (US) |
| Number of lectures | 6 |
| Number of quizzes | 0 |
| Total Reviews | 34 |
| Global Rating | 4.0735292 |
| Instructor Name | Ana Mosciuk |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 34 mins
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Step By Step
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Step By Step
- Practical
- Clear Explanation
- Hands On
Watch-outs
- Too fast
- Too slow
Difficulty
Best suited for
New learners starting from zero
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